Adaptive systems have not been adopted because people prefer stability and predictability for high-level interactions and because such systems have not been robust enough to handle the variety of goals and tasks that people bring to them. Adaptive features at fine grains of activity have been successfully adopted and this paper considers the possibilities of using a variety of contextual features for adaptive multimedia retrieval. It argues that people must gain trust in such systems and he provided with control over the adaptive features within a more general human-computer information retrieval framework. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Marchionini, G. (2006). Leveraging context for adaptive multimedia retrieval: A matter of control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3877 LNCS, pp. 35–43). https://doi.org/10.1007/11670834_3
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